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Type: User
Bio: Enjoy each and every minute of focused growth and tangible contribution for both academia and industrial realm.
Type: User
Bio: Enjoy each and every minute of focused growth and tangible contribution for both academia and industrial realm.
[MedIA2021]MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning
Paper implementations from scratch and machine learning tutorials
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A modern model graph visualizer and debugger
AI Toolkit for Healthcare Imaging
Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.
Baselines and setup instructions for the MOTSynth dataset (ICCV 2021)
Mask Propagation for Efficient Video Semantic Segmentation
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
Baseline Code for CVPR 2023 paper. "Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline".
The state-of-the-art image restoration model without nonlinear activation functions.
[NeurIPS 2022] Segmenting Moving Objects via an Object-Centric Representation. Junyu Xie, Weidi Xie, Andrew Zisserman.
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Official Implementation of Paella https://arxiv.org/abs/2211.07292v2
Semantic Segmentation in Pytorch
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Python Data Science Handbook: full text in Jupyter Notebooks
Tensors and Dynamic neural networks in Python with strong GPU acceleration
95.47% on CIFAR10 with PyTorch
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
A Collection of Variational Autoencoders (VAE) in PyTorch.
The official implementation of the ECCV 2022 Oral paper: RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.